We’re not going to lie: the annual “heads up CES” piece on artificial intelligence is a major exercise in hit or miss. This is because technology rarely evolves on an annual time scale, and certainly not advanced technology like AI. Yet, here we are once again. Sure, 2019 was as fruitful as it gets in the AI research community. The raw debate between Neural Networks Extremists (those pushing for an “all neural nets all the time” approach to intelligence) and the Fanatical Symbolists (those advocating a more hybrid approach between knowledge bases, expert systems and neural nets) took an ugly “Mean Girl” turn, with two of the titans of the field (Gary Marcus and Yann LeCun) trading real insults on Twitter just a few days ago.Continue reading The Human Interface: What We Expect From AI at CES 2020

Microsoft will begin providing customers of its Azure cloud platform with chips made by U.K. startup Graphcore, with the goal of speeding up the computations for artificial intelligence projects. Graphcore, founded in Bristol in 2016, has attracted several hundred million dollars in investment and the attention of many AI researchers. Microsoft invested in Graphcore last December, with the hope of making its cloud services more compelling. Graphcore’s chips have not previously been available publicly. Continue reading Microsoft Pairs Azure Cloud Platform, Graphcore AI Chips

Researchers recently introduced a series of rigorous benchmark tasks that measure the performance of sophisticated language-understanding AI. Facebook AI Research with Google’s DeepMind, University of Washington and New York University introduced SuperGLUE last week, based on the idea that deep learning models for today’s conversational AI require greater challenges. SuperGLUE, which uses Google’s BERT representational model as a performance baseline, follows the 2018 introduction of GLUE (General Language Understanding Evaluation), and encourages the creation of models that can understand more nuanced, complex language. Continue reading SuperGLUE Is Benchmark For Language-Understanding AI

Pandora plans to test new interactive advertising technology that would allow listeners to engage directly with its “voice ads” by speaking aloud. Pandora listeners could request additional information about a product or service being promoted, for example, or request skipping the ad altogether. The beta test, powered by ad-tech firm Instreamatic, is expected to launch later this year. Instreamatic provides an interactive ad platform built on its Voice AI Core to help brands and marketers “manage, measure and monetize voice-enabled audio advertising.” Continue reading Pandora Believes Listeners Will Interact With its Voice Ads

Facebook AI Research, the Lorraine Research Laboratory in Computer Science and its Applications (LORIA), and University College London recently conducted a study to determine if AI can navigate a fantasy text-based game, dubbed “LIGHT.” To examine the AI agents’ comprehension of the virtual world, the study investigated the so-called grounding dialogue, comprised of mutual knowledge, beliefs and assumptions allowing communication between two people. The large-scale, crowdsourced “LIGHT” environment allows AI and humans to interact. Continue reading Study’s Fantasy Text-Based Game Tests AI Agents’ Abilities

Gartner just released its 2019 CIO Survey of 3,000+ executives in 89 countries, which found that implementation of artificial intelligence grew 270 percent in the past four years. In 2018, use of AI grew 37 percent, up from 10 percent in 2015. The company estimates that the AI market will be valued at $6.14 billion by 2022. Gartner distinguished research vice president Chris Howard noted that we are still “far from general AI that can wholly take over complex tasks,” but that we have entered the “augmented intelligence” era. Continue reading Gartner Report Shows Dramatic Growth in Enterprise AI Use

Together, Amazon and Google claim about 85 percent of the smart speakers currently installed in U.S. households. In the wake of a successful holiday shopping season, the number of smart speakers in the U.S. has climbed to around 119 million. And while Amazon and Google battled for dominance at CES with voice assistant support featured in a growing array of devices and services, a new survey from Voicebot.ai suggests that voice assistants may be more habit-forming in vehicles than via smartphones. The voice tech publication found that 77 million adults use such assistants in their vehicles at least monthly, and companies are taking notice. Continue reading Voice Tech Adoption Reaches Beyond Smart Homes to Autos

Streaming music service Pandora is the latest to announce an in-app voice assistant. Users of the iOS or Android app can simply say “Hey Pandora” and make a request to play specific podcasts or music based on artists, albums, radio stations or playlists. According to Pandora, the creation of its own “Voice Mode” feature was inspired by the millions of users who have been activating the service via smart speakers such as Amazon Echo devices. “Voice is just an expected new way that you engage with any app,” said Pandora chief product officer Chris Phillips. Continue reading Pandora Introduces Its Own Voice Assistant for Mobile Apps

Growth priorities, game-changing technology, engaging customers, building brands, and the trends and challenges that keep marketing execs awake at night were among the topics discussed by three of Forbes Top 50 CMOs during a C Space panel at CES, moderated by editor of the CMO Network at Forbes, Jenny Rooney. Aimée Lapic of Pandora, Susan Vobejda of The Trade Desk, and Deborah Wahl of Cadillac work in different markets but face similar challenges as they break through old models, explore new ways of reaching and engaging audiences, and balance the potential of personalization with privacy. Continue reading CES Panel: CMOs Discuss Top Priorities, Trends and Change

With over half-a-million podcasts today, discoverability is often difficult for consumers. To make the process easier, Pandora has come up with its algorithm-based Podcast Genome Project, first announced a year ago and just released in beta. Pandora rose to success with its initial Music Genome Project, and the Podcast version is similar, in that it uses more than 1,500 tags to create a recommendation engine. Also similar to the Music Genome Project, the Podcast Genome Project relies on humans as an adjunct to the algorithms. Continue reading Pandora Launches Beta Version of Podcast Genome Project

Facebook’s video clips get over 8 billion views a day on average, but people with bad Internet connections or disabilities often don’t have access to them. That led Facebook to create VideoStory, which the company described in a research paper as “A Dataset for Telling the Stories of Social Media Videos.” The paper, to be delivered at the Conference on Empirical Methods in Natural Language Processing, noted that, “automatically telling the stories using multi-sentence descriptions of videos would allow bridging this gap.” Continue reading Facebook’s VideoStory Relies on AI to Automate Storytelling

To strengthen its AI Research division (FAIR) and focus on robotics, Facebook is adding five highly regarded computer scientists to its Menlo Park, California headquarters, as well as facilities in Pittsburgh, Seattle and London. The new hires include Carnegie Mellon University professors Jessica Hodgins and Abhinav Gupta, who will head a lab focusing on robotics, a newer area for Facebook. University of Washington’s Luke Zettlemoyer, an expert on natural language processing (NLP), will join the Seattle AI research team. Continue reading Facebook Explores Robotics and NLP, Opens More AI Labs

European Union Institute researchers, working with the European Consumer Organisation (BEUC), created AI-enabled software to scrutinize the privacy policies of 14 major technology companies for violations of the new GDPR. They found that one-third of the clauses were “potentially problematic” or contained “insufficient information,” with 11 percent of the policies’ sentences using “unclear language.” Among the companies examined were Alphabet, Amazon and Facebook. The researchers did not reveal which companies were in violation. Continue reading AI Software Identifies Violations of EU Privacy Regulations

The Intel AI Lab, which open-sourced a library for natural language processing, plans to open-source more such libraries, to help developers and researchers speed up the process of giving virtual assistants and chatbots functions such as name entity recognition, intent extraction and semantic parsing. With new libraries, these developers can also publish research, train and deploy artificial intelligence and reproduce the latest innovations in the AI community. Intel’s first conference for AI developers was held May 23-24 in San Francisco. Continue reading Intel AI Lab Reveals Plans to Open-Source More NLP Libraries

In a keynote address at NAB in Las Vegas, ETC data & analytics project director Yves Bergquist described how the changing economics of media audiences require new measurement methods and metrics. For the first time, he said, the media and entertainment industry can leverage behavioral psychology, computational neuroscience and machine learning to understand the deep cognitive relationship between audiences and content. He pointed to director Alfred Hitchcock’s prescient statement that, “Creation is based on an exact science of audience reactions.” Continue reading NAB 2018: ETC Keynote on the Audience Genomics Revolution

The Entertainment Technology Center at the University of Southern California (ETC@USC) is a think tank and research center that brings together senior executives, innovators, thought leaders, and catalysts from the entertainment, consumer electronics, technology, and services industries along with the academic resources of the University of Southern California to explore and to act upon topics and issues related to the creation, distribution, and consumption of entertainment content. As an organization within the USC School of Cinematic Arts, ETC helps drive collaborative projects among its member companies and engages with next generation consumers to understand the impact of emerging technology on all aspects of the entertainment industry, especially technology development and implementation, the creative process, business models, and future trends. ETC acts as a convener and accelerator for entertainment technology and commerce through: Research, Publications, Events, Collaborative Projects and Shared Exploratory Labs and Demonstrations.